BKBreed: Colourful Biometrical Analysis for Plant Breeding and Genetics
A compact, colour-first toolkit for the analysis of plant
breeding and genetics field experiments. It provides analysis of variance
for the randomised block design (RBD) and factorial RBD, a check-anchored
intra-block analysis for augmented alpha-lattice designs, and the core
biometrical-genetics workflow used in crop improvement: estimation of
genetic variability (genotypic and phenotypic coefficients of variation,
broad-sense heritability, expected genetic advance), genotypic and
phenotypic correlation, path-coefficient analysis, line x tester and
Griffing diallel combining-ability analysis (general combining ability
and specific combining ability), Mahalanobis D-square genetic-divergence
analysis with Tocher and hierarchical clustering, and
genotype-by-environment stability analysis (Eberhart-Russell regression
and the additive main effects and multiplicative interaction (AMMI)
model). Methods follow Griffing (1956) <doi:10.1071/BI9560463> and
Eberhart and Russell (1966)
<doi:10.2135/cropsci1966.0011183X000600010011x>. Every analysis returns a
tidy result object and a publication-ready 'ggplot2' figure using a
bespoke high-contrast colour system.
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